All these years, the common metric, Word Error Rate(WER) and Character Error Rate(CER) still remain the common standards of reporting and comparing the ASR performances of new systems over the old. A few other evaluation methods like word embeddings [1]} [2]} [3]} were proposed during this time. The purpose of this study is to propose a metric similar to WER and CER, with the capability of handling alternative forms in a language so that the ASR is not penalized and interpreted correctly.
